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This project provides experimental data for an individual who was classified as a non-responder to post-stroke FastFES gait rehabilitation. Matlab code for predicting muscle stimulation to minimize propulsive force asymmetry is also provided. Beginning wi

License: FastFES Non-responder Raw Data, FastFES Prediction Code

This project provides experimental data for an individual who was classified as a non-responder to post-stroke FastFES gait rehabilitation. Matlab code for predicting muscle stimulation to minimize propulsive force asymmetry is also provided. Beginning with the raw data, the provided code calibrates a subject-specific OpenSim/Matlab model including skeletal scaling, joint center locations, muscle parameters, foot-ground contact spring parameters, and muscle synergy-based neural control model parameters. Matlab code is also provided for a series of prediction problems designed to predict optimal muscle stimulation parameters (amplitude, timing, and muscle targets) to minimize propulsive force asymmetry between the two legs. Optimal control problems (including the prediction problems, foot-ground contact calibration, and neural control model calibration) utilized GPOPS-II, a software toolbox which operates within the Matlab programming environment.

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